2. What is Machine Learning?
"Machine learning is a type of artificial
intelligence that gives computers the
ability to learn without being explicitly
programmed."
3. Goal and Objective
"Predictive deep learning is a discipline
that uses the power of machine learning
and neural network models to predict
behaviors; it is said to prove that
emotions drives behaviors and how to get
deeper insights with Biometrics before it
worsens!"
4. Today’s Situation
"Psychology of attention deals with
mechanisms of perception that form the
behaviour, and how consistent behaviour
created is an “a-ha” moment, because it
shows that machine learning can
influence the process of human
cognition; thus, provides an unique
integrated solutions combining
hardware, software and services."
5. How Did We Get Here?
• Human Information Processing.
• Attention is a limited cognitive resource.
• As a UX designer, aim to reduce the
cognitive overload.
• And apply the principles of human visual
attention in everyday product design.
6. Available Solutions
• Add IoT Tools to Human Psychology.
• Behavioral Data integrated with Social
Interactions.
• Emotional Intelligence and Behavioral Control.
• A single gamified way to combine behavioral
scenarios to psychometric metrics using
FACS** by Paul Ekman.
** Facial Action Coding System
